The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-09"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "19861683 (up from 19637506 yesterday: 1.14 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "731326 (up from 726781 yesterday: 0.63 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5354192

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.68



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5044864 46935 0.94 1271604 162938 515 0.32 3.23
Brazil 3035422 23010 0.76 937033 101049 572 0.57 3.33
India 2215074 62064 2.88 1096868 44386 1007 2.32 2.00
Russia 885718 5155 0.59 115407 14903 76 0.51 1.68
South Africa 559859 6671 1.21 195531 10408 198 1.94 1.86
Mexico 480278 4376 0.92 136054 52298 292 0.56 10.89
Peru 478024 14149 3.05 124434 21072 423 2.05 4.41
Colombia 387481 10611 2.82 190203 12842 302 2.41 3.31
Chile 373056 2033 0.55 42126 10077 66 0.66 2.70
Iran 326712 2020 0.62 52924 18427 163 0.89 5.64
Spain 314362 0 0.00 54107 28503 0 0.00 9.07
United Kingdom 312574 1113 0.36 16216 46659 8 0.02 14.93
Saudi Arabia 288690 1428 0.50 37770 3167 37 1.18 1.10
Pakistan 284121 634 0.22 19038 6082 14 0.23 2.14
Bangladesh 257600 2487 0.97 53075 3399 34 1.01 1.32
Italy 250566 463 0.19 6132 35205 2 0.01 14.05
Argentina 246499 4688 1.94 119744 4606 83 1.84 1.87
Turkey 240804 1182 0.49 21163 5844 15 0.26 2.43
France 235237 29 0.01 23294 30327 0 0.00 12.89
Germany 217288 385 0.18 14553 9202 1 0.01 4.23
Iraq 150115 2726 1.85 57585 5392 82 1.54 3.59
Philippines 129913 3028 2.39 62457 2270 61 2.76 1.75
Indonesia 125396 1893 1.53 38875 5723 65 1.15 4.56
Canada 121367 219 0.18 9199 9028 4 0.04 7.44
Qatar 112947 297 0.26 6299 184 2 1.10 0.16
Kazakhstan 99442 741 0.75 27604 1058 0 0.00 1.06
Egypt 95492 178 0.19 7717 5009 17 0.34 5.25
Ecuador 94459 887 0.95 20446 5922 6 0.10 6.27
Bolivia 89999 944 1.06 30417 3640 53 1.48 4.04
China 88793 121 0.14 3479 4686 5 0.11 5.28
Israel 83002 678 0.82 32713 600 7 1.18 0.72
Ukraine 82767 1233 1.51 22690 1925 19 1.00 2.33
Sweden 82323 0 0.00 5042 5763 0 0.00 7.00
Oman 81580 223 0.27 14919 513 4 0.79 0.63
Dominican Republic 79732 954 1.21 26877 1309 20 1.55 1.64
Panama 74492 841 1.14 21024 1639 30 1.86 2.20
Belgium 74152 751 1.02 10446 9872 2 0.02 13.31
Kuwait 71713 514 0.72 12509 478 4 0.84 0.67
Belarus 68850 112 0.16 2755 587 2 0.34 0.85
United Arab Emirates 62525 225 0.36 5603 357 1 0.28 0.57
Romania 61768 1145 1.89 24310 2700 41 1.54 4.37
Netherlands 59360 643 1.10 7405 6178 0 0.00 10.41
Guatemala 56605 416 0.74 17928 2211 14 0.64 3.91
Singapore 55104 175 0.32 7192 27 0 0.00 0.05
Portugal 52668 131 0.25 4032 1756 6 0.34 3.33
Poland 51791 624 1.22 11687 1807 7 0.39 3.49
Japan 48782 1440 3.04 23336 1047 5 0.48 2.15
Honduras 47454 481 1.02 13619 1495 19 1.29 3.15
Nigeria 46577 437 0.95 9914 945 3 0.32 2.03
Bahrain 44011 382 0.88 7589 162 1 0.62 0.37
Ghana 41003 470 1.16 13336 215 9 4.37 0.52
Armenia 40410 225 0.56 5533 791 6 0.76 1.96
Kyrgyzstan 39919 348 0.88 12776 1468 9 0.62 3.68
Afghanistan 37054 0 0.00 1579 1312 0 0.00 3.54
Switzerland 36603 152 0.42 3012 1986 0 0.00 5.43
Algeria 35160 467 1.35 12076 1302 9 0.70 3.70
Azerbaijan 33568 87 0.26 6047 490 2 0.41 1.46
Morocco 33237 1230 3.84 16001 498 18 3.75 1.50
Uzbekistan 30609 957 3.23 13857 194 7 3.74 0.63
Serbia 28099 236 0.85 7205 641 9 1.42 2.28
Moldova 27660 217 0.79 6680 845 4 0.48 3.05
Ireland 26712 68 0.26 952 1772 0 0.00 6.63
Kenya 26436 599 2.32 13083 420 2 0.48 1.59
Venezuela 25805 844 3.38 13914 223 8 3.72 0.86
Costa Rica 23286 484 2.12 12172 235 7 3.07 1.01
Nepal 22972 380 1.68 5314 75 2 2.74 0.33
Ethiopia 22818 565 2.54 13315 407 17 4.36 1.78
Austria 22033 114 0.52 2378 721 0 0.00 3.27
Australia 21397 313 1.48 9328 313 18 6.10 1.46
El Salvador 20423 445 2.23 8577 549 13 2.43 2.69
Czechia 18353 118 0.65 4408 390 1 0.26 2.12
Cameroon 18042 0 0.00 1885 395 0 0.00 2.19
Cote d’Ivoire 16715 95 0.57 2596 105 1 0.96 0.63
Denmark 14759 8 0.05 1382 617 0 0.00 4.18
Korea, South 14626 28 0.19 855 305 0 0.00 2.09
West Bank and Gaza 14208 280 2.01 5659 97 1 1.04 0.68
Bosnia and Herzegovina 13687 0 0.00 5347 394 0 0.00 2.88
Bulgaria 13396 53 0.40 4663 447 2 0.45 3.34
Madagascar 13086 164 1.27 6037 148 7 4.96 1.13
Sudan 11956 62 0.52 964 781 8 1.03 6.53
North Macedonia 11839 85 0.72 2686 527 4 0.76 4.45
Senegal 11175 172 1.56 2365 232 3 1.31 2.08

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 559746 5358 0.97 172840 10377 70 0.68 1.85 14166.40 262.63 1 in 71
Florida 532806 6229 1.18 182759 8186 77 0.95 1.54 24807.36 381.14 1 in 40
Texas 503328 5696 1.14 168071 9157 99 1.09 1.82 17358.60 315.80 1 in 58
New York 420860 515 0.12 14053 32774 6 0.02 7.79 21634.09 1684.73 1 in 46
Georgia 216596 3169 1.48 73467 4199 13 0.31 1.94 20400.05 395.48 1 in 49
Illinois 195380 1382 0.71 32630 7845 5 0.06 4.02 15418.46 619.09 1 in 65
Arizona 186923 816 0.44 43299 4150 13 0.31 2.22 24547.03 544.98 1 in 41
New Jersey 184773 344 0.19 7990 15874 5 0.03 8.59 20802.64 1787.17 1 in 48
North Carolina 136346 1398 1.04 36543 2192 8 0.37 1.61 13000.09 209.00 1 in 77
Louisiana 131399 2653 2.06 39693 4263 56 1.33 3.24 28265.18 917.01 1 in 35
Pennsylvania 123312 647 0.53 17928 7311 1 0.01 5.93 9632.25 571.08 1 in 104
Tennessee 122712 2127 1.76 44597 1223 8 0.66 1.00 17958.27 178.98 1 in 56
Massachusetts 121040 329 0.27 7506 8735 14 0.16 7.22 17417.07 1256.92 1 in 57
Alabama 101334 1161 1.16 34323 1768 13 0.74 1.74 20666.97 360.58 1 in 48
Ohio 100848 879 0.88 25916 3669 1 0.03 3.64 8627.52 313.88 1 in 116
South Carolina 100435 975 0.98 30449 2031 24 1.20 2.02 19506.81 394.47 1 in 51
Virginia 100086 897 0.90 22656 2326 4 0.17 2.32 11725.82 272.51 1 in 85
Michigan 96726 535 0.56 14858 6519 -1 -0.02 6.74 9685.33 652.76 1 in 103
Maryland 95503 922 0.97 17372 3585 8 0.22 3.75 15796.90 592.99 1 in 63
Indiana 74328 1041 1.42 17757 3041 5 0.16 4.09 11040.64 451.71 1 in 91
Mississippi 67173 527 0.79 24535 1896 22 1.17 2.82 22570.44 637.06 1 in 44
Washington 63072 549 0.88 16126 1688 0 0.00 2.68 8282.72 221.67 1 in 121
Minnesota 60898 797 1.33 14694 1698 9 0.53 2.79 10798.22 301.08 1 in 93
Wisconsin 60554 621 1.04 18239 998 2 0.20 1.65 10400.12 171.41 1 in 96
Missouri 59383 1362 2.35 25862 1334 7 0.53 2.25 9675.55 217.35 1 in 103
Nevada 56230 811 1.46 20465 957 8 0.84 1.70 18255.57 310.70 1 in 55
Colorado 50642 336 0.67 10518 1858 1 0.05 3.67 8793.94 322.64 1 in 114
Connecticut 50320 0 0.00 2427 4441 0 0.00 8.83 14113.87 1245.62 1 in 71
Arkansas 49383 572 1.17 16155 544 9 1.68 1.10 16363.77 180.26 1 in 61
Iowa 48919 384 0.79 10106 931 4 0.43 1.90 15504.89 295.08 1 in 64
Utah 44127 376 0.86 10010 336 1 0.30 0.76 13764.06 104.80 1 in 73
Oklahoma 43566 486 1.13 18300 603 0 0.00 1.38 11009.94 152.39 1 in 91
Kentucky 34982 404 1.17 11821 773 1 0.13 2.21 7830.03 173.02 1 in 128
Kansas 30662 199 0.65 8666 380 0 0.00 1.24 10524.78 130.44 1 in 95
Nebraska 28432 187 0.66 5849 345 0 0.00 1.21 14698.04 178.35 1 in 68
Idaho 24675 178 0.73 9801 237 2 0.85 0.96 13769.03 132.25 1 in 73
New Mexico 22315 200 0.90 5344 685 4 0.59 3.07 10642.26 326.68 1 in 94
Puerto Rico 22121 697 3.25 10058 279 5 1.82 1.26 6926.46 87.36 1 in 144
Oregon 21272 262 1.25 6693 356 1 0.28 1.67 5043.46 84.41 1 in 198
Rhode Island 19738 0 0.00 1945 1014 0 0.00 5.14 18631.99 957.18 1 in 54
Delaware 15575 73 0.47 2056 591 1 0.17 3.79 15994.64 606.92 1 in 63
District of Columbia 12753 100 0.79 1492 591 1 0.17 4.63 18070.16 837.41 1 in 55
South Dakota 9605 128 1.35 1699 146 0 0.00 1.52 10857.29 165.04 1 in 92
West Virginia 7695 132 1.75 2705 139 8 6.11 1.81 4305.75 77.78 1 in 232
North Dakota 7596 88 1.17 2577 112 0 0.00 1.47 9967.69 146.97 1 in 100
New Hampshire 6835 17 0.25 632 419 0 0.00 6.13 5026.80 308.15 1 in 199
Montana 4952 63 1.29 2419 75 0 0.00 1.51 4633.33 70.17 1 in 216
Maine 4044 16 0.40 357 125 0 0.00 3.09 3008.45 92.99 1 in 332
Alaska 3711 98 2.71 1836 26 0 0.00 0.70 5072.83 35.54 1 in 197
Hawaii 3498 152 4.54 2117 31 0 0.00 0.89 2470.56 21.89 1 in 405
Wyoming 3050 35 1.16 924 28 0 0.00 0.92 5269.90 48.38 1 in 190
Vermont 1459 5 0.34 109 58 0 0.00 3.98 2338.18 92.95 1 in 428

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 8826119 559746 6.34 2539267 172840 6.81 223376.93
2 Florida 3985663 532806 13.37 983022 182759 18.59 185571.83
3 Texas 4025864 503328 12.50 1093500 168071 15.37 138842.62
4 New York 6509644 420860 6.47 1394174 14053 1.01 334624.80
5 Georgia 1835048 216596 11.80 579729 73467 12.67 172833.65
6 Illinois 3075288 195380 6.35 829602 32630 3.93 242687.14
7 Arizona 1022563 186923 18.28 236584 43299 18.30 134284.62
8 New Jersey 2301852 184773 8.03 510715 7990 1.56 259153.65
9 North Carolina 1986548 136346 6.86 591684 36543 6.18 189410.00
10 Louisiana 1540571 131399 8.53 471267 39693 8.42 331391.54
11 Pennsylvania 1347210 123312 9.15 319831 17928 5.61 105234.43
12 Tennessee 1713120 122712 7.16 515823 44597 8.65 250706.33
13 Massachusetts 1319939 121040 9.17 279404 7506 2.69 189932.86
14 Alabama 762451 101334 13.29 176918 34323 19.40 155501.17
15 Ohio 1668548 100848 6.04 505634 25916 5.13 142743.92
16 South Carolina 785984 100435 12.78 208598 30449 14.60 152656.37
17 Virginia 1244258 100086 8.04 336895 22656 6.72 145774.15
18 Michigan 2101332 96726 4.60 616873 14858 2.41 210409.74
19 Maryland 1039345 95503 9.19 299560 17372 5.80 171915.32
20 Indiana 841125 74328 8.84 214245 17757 8.29 124940.23
21 Mississippi 494117 67173 13.59 116040 24535 21.14 166025.63
22 Washington 1012630 63072 6.23 220844 16126 7.30 132980.20
23 Minnesota 934973 60898 6.51 81785 14694 17.97 165786.17
24 Wisconsin 1058577 60554 5.72 281727 18239 6.47 181810.05
25 Missouri 752740 59383 7.89 193661 25862 13.35 122647.47
26 Nevada 517604 56230 10.86 127816 20465 16.01 168044.74
27 Colorado 585880 50642 8.64 149942 10518 7.01 101737.60
28 Connecticut 864633 50320 5.82 234664 2427 1.03 242514.28
29 Arkansas 563831 49383 8.76 144660 16155 11.17 186833.56
30 Iowa 518810 48919 9.43 103319 10106 9.78 164436.92
31 Utah 570613 44127 7.73 107791 10010 9.29 177985.18
32 Oklahoma 694051 43566 6.28 218111 18300 8.39 175399.57
33 Kentucky 648839 34982 5.39 158638 11821 7.45 145229.74
34 Kansas 316512 30662 9.69 67159 8666 12.90 108643.28
35 Nebraska 299674 28432 9.49 67273 5849 8.69 154917.68
36 Idaho 204831 24675 12.05 58645 9801 16.71 114298.87
37 New Mexico 620128 22315 3.60 159464 5344 3.35 295745.62
39 Oregon 447037 21272 4.76 111447 6693 6.01 105989.78
40 Rhode Island 217973 19738 9.06 38772 1945 5.02 205758.94
41 Delaware 198119 15575 7.86 45124 2056 4.56 203456.90
42 District of Columbia 217942 12753 5.85 70177 1492 2.13 308809.51
43 South Dakota 120897 9605 7.94 22810 1699 7.45 136659.44
44 West Virginia 323072 7695 2.38 92084 2705 2.94 180775.28
45 North Dakota 168672 7596 4.50 34818 2577 7.40 221336.32
46 New Hampshire 172585 6835 3.96 29207 632 2.16 126927.71
47 Montana 189946 4952 2.61 56787 2419 4.26 177722.60
48 Maine 188986 4044 2.14 51549 357 0.69 140592.41
49 Alaska 277919 3711 1.34 104909 1836 1.75 379906.91
50 Hawaii 141944 3498 2.46 37309 2117 5.67 100252.00
51 Wyoming 56675 3050 5.38 12622 924 7.32 97925.04
52 Vermont 102691 1459 1.42 20191 109 0.54 164571.81

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 524513 21429 4.26 358421 68.33 147735 18050 683 3.93 3.44
Tamil Nadu 302815 5914 1.99 244675 80.80 53099 5041 114 2.31 1.66
Andhra Pradesh 235525 7665 3.36 145636 61.83 87773 2116 80 3.93 0.90
Karnataka 182354 4267 2.40 99126 54.36 79907 3312 114 3.56 1.82
Delhi 146134 707 0.49 131657 90.09 10346 4131 20 0.49 2.83
Uttar Pradesh 126722 4113 3.35 76724 60.55 47878 2120 51 2.46 1.67
West Bengal 98459 2905 3.04 70328 71.43 26031 2100 41 1.99 2.13
Bihar 82741 3021 3.79 54139 65.43 28151 450 21 4.90 0.54
Telangana 80751 1256 1.58 57586 71.31 22528 637 10 1.59 0.79
Gujarat 72120 1056 1.49 55376 76.78 14072 2672 20 0.75 3.70
Assam 61738 4023 6.97 43587 70.60 17997 151 11 7.86 0.24
Rajasthan 53670 1746 3.36 39060 72.78 13810 800 16 2.04 1.49
Odisha 47455 1528 3.33 33021 69.58 14097 337 16 4.98 0.71
Haryana 42429 794 1.91 35492 83.65 6448 489 6 1.24 1.15
Madhya Pradesh 39891 866 2.22 29674 74.39 9202 1015 19 1.91 2.54
Kerala 35515 1184 3.45 22616 63.68 12737 116 7 6.42 0.33
Jammu and Kashmir 25367 470 1.89 17375 68.49 7514 478 6 1.27 1.88
Punjab 24889 986 4.13 15735 63.22 8550 604 18 3.07 2.43
Jharkhand 18786 1160 6.58 9748 51.89 8849 189 21 12.50 1.01
Chhattisgarh 12625 770 6.50 9017 71.42 3509 99 9 10.00 0.78
Uttarakhand 10021 389 4.04 6301 62.88 3547 134 9 7.20 1.34
Goa 9029 317 3.64 6208 68.76 2741 80 5 6.67 0.89
Tripura 6223 62 1.01 4443 71.40 1720 42 1 2.44 0.67
Puducherry 5624 242 4.50 3355 59.66 2180 89 2 2.30 1.58
Manipur 3853 100 2.66 2122 55.07 1720 11 0 0.00 0.29
Himachal Pradesh 3463 129 3.87 2205 63.67 1214 16 2 14.29 0.46
Nagaland 3011 230 8.27 973 32.31 2027 8 0 0.00 0.27
Arunachal Pradesh 2231 114 5.38 1592 71.36 636 3 0 0.00 0.13
Ladakh 1717 78 4.76 1237 72.04 471 9 0 0.00 0.52
Andaman and Nicobar Islands 1625 274 20.28 709 43.63 896 20 0 0.00 1.23
Dadra and Nagar Haveli and Daman and Diu 1617 62 3.99 1167 72.17 436 2 0 0.00 0.12
Chandigarh 1595 80 5.28 1004 62.95 565 25 0 0.00 1.57
Meghalaya 1115 53 4.99 498 44.66 611 6 0 0.00 0.54
Sikkim 910 50 5.81 510 56.04 399 1 0 0.00 0.11
Mizoram 620 12 1.97 323 52.10 297 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1365366 96853 71 0.07 7.09 155 9 5588 16833 17.38
Piemonte 521071 31868 38 0.12 6.12 85 3 822 4136 12.98
Emilia-Romagna 727693 30121 69 0.23 4.14 81 4 1760 4295 14.26
Veneto 1314277 20656 58 0.28 1.57 28 6 1240 2083 10.08
Toscana 450034 10644 61 0.58 2.37 14 1 510 1137 10.68
Liguria 201270 10283 7 0.07 5.11 20 2 216 1569 15.26
Lazio 440510 8822 38 0.43 2.00 189 8 1046 866 9.82
Marche 176282 6954 16 0.23 3.94 13 0 168 987 14.19
Campania 349622 5077 22 0.44 1.45 29 2 388 438 8.63
P.A. Trento 162684 4995 2 0.04 3.07 6 0 78 405 8.11
Puglia 256307 4714 9 0.19 1.84 31 0 187 554 11.75
Abruzzo 136214 3502 16 0.46 2.57 23 1 213 472 13.48
Sicilia 295660 3453 29 0.85 1.17 39 5 420 284 8.22
Friuli Venezia Giulia 269138 3449 7 0.20 1.28 11 3 166 346 10.03
P.A. Bolzano 114137 2773 7 0.25 2.43 8 0 128 292 10.53
Umbria 128008 1505 7 0.47 1.18 8 0 49 80 5.32
Sardegna 113066 1439 6 0.42 1.27 6 0 60 134 9.31
Calabria 127863 1287 0 0.00 1.01 9 1 100 97 7.54
Valle d’Aosta 22438 1216 0 0.00 5.42 5 0 14 146 12.01
Molise 29085 479 0 0.00 1.65 1 0 35 23 4.80
Basilicata 49119 476 0 0.00 0.97 2 0 75 28 5.88

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60471 104 0.17 5695 3 0.05 9.42 7082.84 667.04 1 in 141
Ontario 41962 68 0.16 2832 1 0.04 6.75 2852.26 192.50 1 in 351
Alberta 11430 0 0.00 208 0 0.00 1.82 2589.99 47.13 1 in 386
British Columbia 3934 0 0.00 195 0 0.00 4.96 769.72 38.15 1 in 1299
Saskatchewan 1445 12 0.84 20 0 0.00 1.38 1222.85 16.93 1 in 818
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 542 35 6.90 8 0 0.00 1.48 393.46 5.81 1 in 2542
Newfoundland and Labrador 267 0 0.00 3 0 0.00 1.12 512.12 5.75 1 in 1953
New Brunswick 176 0 0.00 2 0 0.00 1.14 225.64 2.56 1 in 4432
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4079 52 1.27
Guangdong 1696 8 0.47
Henan 1276 22 1.72
Zhejiang 1273 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 853 3 0.35
Shandong 810 7 0.86
Shanghai 786 7 0.89
Jiangsu 659 0 0.00
Sichuan 615 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 349 6 1.72
Shaanxi 331 3 0.91
Liaoning 261 2 0.77
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 15418.29 497.98 1 in 65
Brazil 14502.73 482.80 1 in 69
India 1654.27 33.15 1 in 604
Russia 6129.54 103.13 1 in 163
South Africa 9870.57 183.50 1 in 101
Mexico 3717.32 404.78 1 in 269
Peru 14859.31 655.02 1 in 67
Colombia 7896.49 261.71 1 in 127
Chile 20667.92 558.28 1 in 48
Iran 4025.53 227.05 1 in 248
Spain 6737.29 610.87 1 in 148
United Kingdom 4704.61 702.27 1 in 213
Saudi Arabia 8764.12 96.14 1 in 114
Pakistan 1442.24 30.87 1 in 693
Bangladesh NA NA 1 in NA
Italy 4142.96 582.09 1 in 241
Argentina 5568.08 104.04 1 in 180
Turkey 2979.88 72.32 1 in 336
France 3511.52 452.71 1 in 285
Germany 2624.57 111.15 1 in 381

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 227832 23580 10.35
Los Angeles California 208563 4977 2.39
Miami-Dade Florida 132461 1865 1.41
Maricopa Arizona 126053 2353 1.87
Cook Illinois 111447 4928 4.42
Harris Texas 85757 1575 1.84
Broward Florida 62268 803 1.29
Dallas Texas 54674 755 1.38
Clark Nevada 48466 807 1.67
Suffolk New York 43786 1998 4.56
Nassau New York 43655 2194 5.03
Bexar Texas 42783 782 1.83
Riverside California 40452 799 1.98
Orange California 39641 726 1.83
Palm Beach Florida 37020 931 2.51
Westchester New York 36205 1447 4.00
San Bernardino California 35712 546 1.53
Hillsborough Florida 32587 388 1.19
San Diego California 32330 593 1.83
Orange Florida 31719 298 0.94
Tarrant Texas 31687 447 1.41
Philadelphia Pennsylvania 31120 1698 5.46
Wayne Michigan 28163 2824 10.03
Middlesex Massachusetts 26420 2003 7.58
Prince George’s Maryland 23697 753 3.18
Kern California 23583 171 0.73
Duval Florida 23437 188 0.80
Shelby Tennessee 23238 304 1.31
Travis Texas 22724 298 1.31
Mecklenburg North Carolina 22255 228 1.02
Suffolk Massachusetts 21849 1074 4.92
Milwaukee Wisconsin 21062 456 2.17
Bergen New Jersey 20794 2038 9.80
Salt Lake Utah 20628 189 0.92
Davidson Tennessee 20620 213 1.03
Fulton Georgia 20276 430 2.12
Gwinnett Georgia 19808 260 1.31
Hidalgo Texas 19741 807 4.09
Essex New Jersey 19728 2111 10.70
Hudson New Jersey 19671 1504 7.65
Hennepin Minnesota 19271 835 4.33
Montgomery Maryland 18392 803 4.37
Franklin Ohio 18317 524 2.86
Fairfield Connecticut 17956 1408 7.84
Middlesex New Jersey 17919 1403 7.83
Pima Arizona 17880 489 2.73
Pinellas Florida 17879 500 2.80
Essex Massachusetts 17846 1193 6.68
Passaic New Jersey 17642 1240 7.03
Fresno California 17290 171 0.99
Union New Jersey 16695 1350 8.09
King Washington 16570 675 4.07
Lee Florida 16529 334 2.02
Out of GA Georgia 16449 91 0.55
Fairfax Virginia 16376 529 3.23
El Paso Texas 16308 293 1.80
Cameron Texas 16290 430 2.64
Marion Indiana 15860 725 4.57
Oakland Michigan 15501 1129 7.28
Jefferson Louisiana 15279 529 3.46
Nueces Texas 15244 236 1.55
Providence Rhode Island 15047 0 0.00
St. Louis Missouri 14785 667 4.51
Polk Florida 14301 312 2.18
Rockland New York 13942 674 4.83
DeKalb Georgia 13923 237 1.70
Worcester Massachusetts 13630 1005 7.37
Cobb Georgia 13564 319 2.35
Cuyahoga Ohio 13514 499 3.69
Baltimore Maryland 13257 563 4.25
Alameda California 13213 208 1.57
New Haven Connecticut 13145 1104 8.40
Jefferson Alabama 13109 243 1.85
Hartford Connecticut 12761 1415 11.09
District of Columbia District of Columbia 12753 591 4.63
Lake Illinois 12670 446 3.52
Baltimore City Maryland 12547 428 3.41
Charleston South Carolina 12324 194 1.57
San Joaquin California 12303 211 1.72
DuPage Illinois 12233 520 4.25
East Baton Rouge Louisiana 12187 347 2.85
Wake North Carolina 12028 170 1.41
Santa Clara California 11687 204 1.75
Yuma Arizona 11510 288 2.50
Douglas Nebraska 11270 132 1.17
Orange New York 11159 491 4.40
Greenville South Carolina 10916 208 1.91
Sacramento California 10795 161 1.49
Orleans Louisiana 10735 562 5.24
Norfolk Massachusetts 10614 997 9.39
Ocean New Jersey 10596 1018 9.61
Oklahoma Oklahoma 10560 112 1.06
Tulare California 10475 196 1.87
Tulsa Oklahoma 10465 107 1.02
Macomb Michigan 10433 946 9.07
Collier Florida 10334 136 1.32
Yakima Washington 10325 211 2.04
Polk Iowa 10309 207 2.01
Monmouth New Jersey 10302 856 8.31
Denver Colorado 10224 414 4.05

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc